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Structural Improvement Filtering Strategy for PRM

Roger Pearce, Marco Morales, Nancy M. Amato

发表年份
2008
引用次数
9
访问权限
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摘要

Sampling based motion planning methods have been highly successful in solving many high degree of freedom motion planning problems arising in diverse application domains such as traditional robotics, computer-aided design, and computational biology and chemistry. Recent work in metrics for sampling based planners provide tools to analyze the model building process at three levels of detail: sample level, region level, and global level. These tools are useful for comparing the evolution of sampling methods, and have shown promise to improve the process altogether [15], [17], [24].

关键词

Computer science

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